Our vision is to become the leading biocomputing platform. The future of biology is in big data analysis, and we are on a mission to accelerate digital drug discovery with the Watershed platform. Watershed enables scientists to conduct all essential analysis — from lab data to plot — with a single software platform.
We have attracted some of the best bioinformatics, engineering, and commercial talent, and we are growing! Join a team that’s intellectually curious with a bias for action, headquartered in Cambridge, Massachusetts, composed of people who have come together to enable outcomes while empowering the research of all those committed to changing lives — all while bringing transformational change to a $40 billion industry.
RoleLinux Systems Engineers at Watershed engineer infrastructure to meet the high-performance computing needs of modern biology. Designing systems that keep pace with the explosive growth in the kinds and size of biological data, you will work in a highly-customized bare metal environment where our biocomputing platform and analyses run at scale. You will be tasked with engineering a new cloud experience while enabling our technology evolution in a disciplined way.
Responsibilities- Build, manage, and deploy a large fleet of Linux servers
- Research new technologies and solutions, implement them or build better
- Be the connection between hardware and software
- Monitor system performance and manage capacity.
- Fix and analyze technical incidents, solve ad hoc technical problems.
- Experience composing infrastructure-as-code for a modern environment
- Demonstrate a software developer mindset, building tools when necessary
- Knowledge of virtualization, networking, and Linux Kernel internals
- Ability to clearly communicate your thoughts, ask the right questions, and defend your views
- Responsibility and ownership over your domain.
Top Skills
What We Do
Watershed Informatics is the first end-to-end bio-IT managed service provider. Our Cloud Data Lab enables life sciences organizations of any size to perform mission-critical bioinformatics analyses (such as bulk, single-cell, and spatial transcriptomics; ATAC-Seq; proteomics, etc.) at an order of magnitude less cost and complexity than existing solutions.
The Cloud Data Lab provides reliable, secure, scalable, and accessible storage, computation, and analysis tools specifically optimized for catalyzing the life sciences development pipeline.
Our approach enables biologists to analyze their own -omics data and bioinformaticians to rapidly prototype and deploy bespoke analytic workflows across an organization.
Our clients, including Revitope Oncology, SQZ Biotech, and Rarebase rave about our platform, and we'd love the opportunity to enable your organization's analyses as well.
Please reach out to [email protected] for more information and a live demo.
